This is delicious. I hope they hurry up, and I hope they do it in a really large really public context.
I’ve had this conversation, but today’s generation of AI won’t:
“No, I can’t just do a one for one translation. Some of the core operating principles of the language are different, and the original intent needs to be well understood to make the appropriate translation choice. If I just translate it one to one, with no understanding of the business context. you’re going to suffer from years off debugging subtle but impactful bugs.”
Get on with it IBM. Let’s light this dumpster fire so we can all bask together in it’s glow (and smell).
There may be a day coming in the next 100-1000 years when a learning algorithm is a suitable replacement for an expert engineer, but that day has not arrived (and the early evidence of that impending arrival hasn’t arrived, either. I haven’t seen evidence of AGI experiments with even toddler reasoning levels, so far. Toddler level reasoning wil come before AGI with infrastructure deployment skills, which itself is probably coming before AGI with expert business logic diagnostic skills. This could all be 20 years or 1000 years away. But we will probably see LLMs running deeply insightful life changing management workshops sometime roughly next week, since a trained parrot could do that. If we have an AGI that can meaningfully reason with small numbers in the next 20 years, we will be making great progress and on track for the rest to arrive - someday. If not, then we’re probably waiting on a missing computational breakthrough.)
But we will probably see LLMs running deeply insightful life changing management workshops sometime roughly next week, since a trained parrot could do that.
Wasn’t there a (successful) comany that replaced it’s CEO with an AI?
For non-video people like me: The World Depends on 60-Year-Old Code No One Knows Anymore
The real headline behind it: IBM plans to update COBOL via Watson AI to Java.
This is delicious. I hope they hurry up, and I hope they do it in a really large really public context.
I’ve had this conversation, but today’s generation of AI won’t:
“No, I can’t just do a one for one translation. Some of the core operating principles of the language are different, and the original intent needs to be well understood to make the appropriate translation choice. If I just translate it one to one, with no understanding of the business context. you’re going to suffer from years off debugging subtle but impactful bugs.”
Get on with it IBM. Let’s light this dumpster fire so we can all bask together in it’s glow (and smell).
There may be a day coming in the next 100-1000 years when a learning algorithm is a suitable replacement for an expert engineer, but that day has not arrived (and the early evidence of that impending arrival hasn’t arrived, either. I haven’t seen evidence of AGI experiments with even toddler reasoning levels, so far. Toddler level reasoning wil come before AGI with infrastructure deployment skills, which itself is probably coming before AGI with expert business logic diagnostic skills. This could all be 20 years or 1000 years away. But we will probably see LLMs running deeply insightful life changing management workshops sometime roughly next week, since a trained parrot could do that. If we have an AGI that can meaningfully reason with small numbers in the next 20 years, we will be making great progress and on track for the rest to arrive - someday. If not, then we’re probably waiting on a missing computational breakthrough.)
Wasn’t there a (successful) comany that replaced it’s CEO with an AI?